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initiative to carry out independent research; be able to work as part of an interdisciplinary team; and have the written and verbal skills necessary to present scientific ideas clearly. Experience in
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science, who are excited about testing conceptual biological questions in vivo, and who thrive in professional and high-pressure environments where scientific curiosity and focus drive excellence. You will
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skillset as necessary for the benefit of the project; • help to establish a scientifically outstanding and warmly communicative interdisciplinary team at the University of Oxford; • publish
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of work to meet deadlines. You will also adapt existing and develop new scientific techniques and experimental protocols. Collaboration in the preparation of scientific reports and journal articles and
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of the University's international profile in line with the University's strategic plan - inspiring people - changing the world http://ww.gla.ac.uk/about/strategy/people/. Knowledge and Qualifications Essential: A1
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personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Does
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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nanocomposites ¿ Manufacture prototypes using the new materials and evaluate their performance ¿ Investigate science underlying the material functions and processes ¿ Work with internal and
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Deadline 6 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor